uses this to generate a simple overview of an entire pip and nonpip test
invocation, since the normal logs that Bazel creates are too large for the
internal invocation viewer.
"""
import collections
import os
import re
import subprocess
import sys
from junitparser import JUnitXml

result = JUnitXml()
try:
  files = subprocess.check_output(

#include "tensorflow/core/grappler/clusters/single_machine.h"
#include "tensorflow/core/grappler/costs/graph_properties.h"
#include "tensorflow/core/grappler/grappler_item.h"
#include "tensorflow/core/grappler/inputs/trivial_test_graph_input_yielder.h"
#include "tensorflow/core/lib/core/status_test_util.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace grappler {
namespace {

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        `tf.data.Options.experimental_optimization.autotune_buffers`.
    *   Add support for user-defined names of tf.data core Python API, which can
        be used to disambiguate tf.data events in TF Profiler Trace Viewer.
    *   Promote `tf.data.experimental.sample_from_datasets` API to
        `tf.data.Dataset.sample_from_datasets` and deprecate the experimental
        endpoint.